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Related papers: Flat trace estimates for Anosov flows

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This paper gives 3 different proofs (independently obtained by the 3 authors) of the following fact: given an Anosov flow on an oriented 3 manifold, the existence of a positive Birkhoff section is equivalent to the fact that the flow is…

Dynamical Systems · Mathematics 2024-07-30 Masayuki Asaoka , Christian Bonatti , Théo Marty

In this paper, we prove that if the geodesic flow of a complete manifold without conjugate points with sectional curvatures bounded below by $-c^2$ is of Anosov type, then the constant of contraction of the flow is $\geq e^{-c}$. Moreover,…

Dynamical Systems · Mathematics 2024-01-29 Ítalo Dowell , Sergio Romaña

We associate a flow $\phi$ to a solution of the vortex equations on a closed oriented Riemannian 2-manifold $(M,g)$ of negative Euler characteristic and investigate its properties. We show that $\phi$ always admits a dominated splitting and…

Differential Geometry · Mathematics 2024-10-22 Thomas Mettler , Gabriel P. Paternain

We establish a point-wise gradient estimate for $all$ positive solutions of the conjugate heat equation. This contrasts to Perelman's point-wise gradient estimate which works mainly for the fundamental solution rather than all solutions.…

Differential Geometry · Mathematics 2007-05-23 Shilong Kuang , Qi S. Zhang

We extend the DeTurck trick from the classical isotropic curve shortening flow to the anisotropic setting. Here the anisotropic energy density is allowed to depend on space, which allows an interpretation in the context of Finsler metrics,…

Numerical Analysis · Mathematics 2023-12-13 Klaus Deckelnick , Robert Nürnberg

We prove uniform diameter estimates, volume non-collapsing estimates and Gromov-Hausdorff convergence for the normalized Chern-Ricci flow on smooth complex minimal surfaces of general type, starting from an arbitrary Hermitian metric. This…

Differential Geometry · Mathematics 2026-05-22 Haoyuan Sun

We show that the set of all formulas in n variables valid in a finite class A of finite algebras is always a regular tree language, and compute a finite axiom set for A. We give a rational reconstruction of Barzdins' liquid flow algorithm…

Logic in Computer Science · Computer Science 2014-03-31 Jochen Burghardt

We give some simple conditions under which a group acting on a bifoliated plane comes from the induced action of a pseudo-Anosov flow on its orbit space. An application of the strategy is a less technical proof of a result of Barbot that…

Dynamical Systems · Mathematics 2025-09-12 Thomas Barthelmé , Sergio Fenley , Kathryn Mann

We construct a translating solution to anisotropic curve shortening flow and show that for a given anisotropic factor $g:S^1\to\mathbb{R}_+$, and a given direction and speed, this translator is unique. We then construct an ancient compact…

Differential Geometry · Mathematics 2023-09-06 Theodora Bourni , Benjamin Richards

Given a smooth compact surface without focal points and of higher genus, it is shown that its geodesic flow is semi-conjugate to a continuous expansive flow with a local product structure such that the semi-conjugation preserves…

Dynamical Systems · Mathematics 2017-07-20 Katrin Gelfert , Rafael O. Ruggiero

Low-temperature grid generated turbulence is investigated by using numerical simulations of the Gross-Pitaevskii equation. The statistics of regularized velocity increments are studied. Increments of the incompressible velocity are found to…

Other Condensed Matter · Physics 2016-06-15 Giorgio Krstulovic

We proved that any Lorentz transformation of 2-torus is Anosov automorphism. One completely describes admissible parameters of Lorentz transformations and their arithmetical properties. One proved that an admissible speed light parameter…

Dynamical Systems · Mathematics 2007-05-23 S. Aranson , E. Zhuzhoma

In this work, we propose a new family of generative flows on an augmented data space, with an aim to improve expressivity without drastically increasing the computational cost of sampling and evaluation of a lower bound on the likelihood.…

Machine Learning · Computer Science 2020-02-19 Chin-Wei Huang , Laurent Dinh , Aaron Courville

The widespread adoption of renewable energy poses a challenge in maintaining a feasible operating point in highly variable scenarios. This paper demonstrates that, within a feasible region of a power system that meets practical stability…

Systems and Control · Electrical Eng. & Systems 2026-03-24 Qirui Zheng , Dan Wu , Franz-Erich Wolter , Sijia Geng

We characterize the long time behaviour of a discrete-in-time approximation of the volume preserving fractional mean curvature flow. In particular, we prove that the discrete flow starting from any bounded set of finite fractional perimeter…

Analysis of PDEs · Mathematics 2023-01-10 De Gennaro Daniele , Andrea Kubin , Anna Kubin

We present a two-dimensional lattice gas with anisotropic interactions which model the known properties of the surface reconstructions of CdTe and ZnSe. In constrast to an earlier publication [12], the formation of anion dimers is…

Statistical Mechanics · Physics 2009-11-07 M. Ahr , M. Biehl

We prove that there exists an open and dense subset of the incompressible 3-flows of class C^2 such that, if a flow in this set has a positive volume regular invariant subset with dominated splitting for the linear Poincar\'e flow, then it…

Dynamical Systems · Mathematics 2009-11-13 Vitor Araujo , Mario Bessa

We combine methods from microlocal analysis and dimension theory to study resonances with largest real part for an Anosov flow with smooth real valued potential. We show that the resonant states are closely related to special systems of…

Dynamical Systems · Mathematics 2025-01-22 Tristan Humbert

This paper is devoted to higher dimensional Anosov flows and consists of two parts. In the first part, we investigate fiberwise Anosov flows on affine torus bundles which fiber over 3-dimensional Anosov flows. We provide a dichotomy result…

Dynamical Systems · Mathematics 2020-05-13 Thomas Barthelmé , Christian Bonatti , Andrey Gogolev , Federico Rodriguez Hertz

Flow-based generative models parameterize probability distributions through an invertible transformation and can be trained by maximum likelihood. Invertible residual networks provide a flexible family of transformations where only…

Machine Learning · Statistics 2020-07-27 Ricky T. Q. Chen , Jens Behrmann , David Duvenaud , Jörn-Henrik Jacobsen